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Ala Mbarki — Mechanical Engineering Student — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Mechanical And Industrial Engineering Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jakexie.com ↗	81 match 1 shared topics	Jake Xie — Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jagengrg.com ↗	78 match 1 shared topics	Mechanical Engineer	en	mechanical-and-industrial-engineering-industry Weebly	robotsllmsaihumans	emailphone	none
seansuleski.com ↗	78 match 1 shared topics	Sean Suleski \| Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	email phone	none
jimmysportfolio.com ↗	78 match 1 shared topics	Jimmy Pare — Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jamesdrake.dev ↗	78 match 1 shared topics	James Drake — Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
devinturk.com ↗	78 match 1 shared topics	Devin Turk \| Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jamesutton.com ↗	78 match 1 shared topics	James Utton \| Mechanical Engineering & Physics Student	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jacksimpson318.com ↗	77 match 1 shared topics	Jack Simpson — Mechanical Engineering Graduate	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
sebastian-tatar.com ↗	77 match 1 shared topics	Sebastian Tatar — Mechanical Engineer	en	mechanical-and-industrial-engineering-industry Gumroad	robotsllmsaihumans	emailphone	none
mechanicalengineer.net ↗	77 match 1 shared topics	Jose Andre Bonillas — Mechanical Engineer	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	email phone	none
gabrielseng.com ↗	76 match 1 shared topics	Gabriel Seng — Mechanical Engineer · UVA	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
sean-donaldson.com ↗	76 match 1 shared topics	Sean Donaldson – U.S. Navy Veteran & Mechanical Engineering Student	en	mechanical-and-industrial-engineering-industry WordPress	robotsllmsaihumans	emailphone	none
marwanruby.com ↗	76 match 1 shared topics	Marwan Ruby, M.S. \| Mechanical Engineering Portfolio	en	mechanical-and-industrial-engineering-industry	robots llmsaihumans	emailphone	none
mechanicalengineeringconsultants.com ↗	76 match 1 shared topics	Home - Mechanical Engineering Consultants, LLC	en	mechanical-and-industrial-engineering-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mechanicalengineeringpros.com ↗	76 match 1 shared topics	Mechanical Engineering Professionals	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jason-mccallister.com ↗	75 match 1 shared topics	Engr. Jason McCallister \| Mechanical Engineer Portfolio	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
jakelecoure.com ↗	75 match 1 shared topics	Jake LeCoure \| Process Engineering Student	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none
megamach.com.my ↗	75 match 1 shared topics	Mega Mach Mechanical Engineering Sdn Bhd	en	mechanical-and-industrial-engineering-industry	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.